Now showing items 1-3 of 3

  • Integration of gene expressions with polymorphism data in systems biology: comparison with imaging techniques in gliomas.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Iosifidis, Petros-Konstantinos
    Thesis advisor: Tsiknakis, Emmanouil; Koumakis, Eleftherios
    Publication Date: 2022-11-01
    The present work outlines core aspects of machine learning in the fields of radiomics, genomics, transcriptomics and radiogenomics. More specifically, it’s attempting through the usage of multi-type data (including medical ...
  • Gene expression analysis using deep learning.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Panagiotakis, Georgios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2021-05-11
    The present work outlines the basic aspects of artificial intelligence in the field of bioinformatics and in particular the use of neural networks for the analysis of gene expressions. In the first stage, introductory ...
  • Multi-omic analysis of genomic data for the classification of glioblastoma samples.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Oikonomou, Nikolaos
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2023-05-10
    Clustering of individual omic datasets has proven invaluable for biological and medical research. Decreasing costs and the development of next-generation sequencing (NGS) methods now have the measurement of multi-omic data. ...